montalbano, pietrelli, salvatici trade policy and ... · 1. outline aim economics of maize in...
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Montalbano, Pietrelli, Salvatici Trade policy and household food security 1 / 21
1.
Outline
Aim
Economics of maize in Uganda
Contribution
Data
Descriptive analysis
Next step: identification strategy
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2. Aim
Research question
Empirical test whether there is heterogeneity in household food securityaccording to household exposure to trade and to the value chain.Uganda is an ideal candidate:
food security is a priority for the country’s development agenda(WFP, 2009);
the maize value chain has been extensively studied (ICG 2003,USAID, 2009);
there is a panel data of households covering the period 2009-12.
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3. Economics of maize in Uganda
Figure: Maize production and export of Uganda (2005-2011)
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2005 2006 2007 2008 2009 2010 2011
Production (MT) Maize Export (tonnes) Maize flour Export (tonnes)
Source: FAOSTAT, 2014
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3. Economics of maize in Uganda
Trade measures on maize by Uganda and main EA partners
2008/09:
Ban on maize exports and zero import duty policy for maize byTanzania and Kenya.Uganda banned exports of maize and other cereals.
2010/11:
Kenya applied a 50% import tariff on maize for countries non-EAC.The EA Common Market Protocol has come into effect betweenKenya, Tanzania, Uganda, Rwanda and Burundi.Kenya allowed duty free maize import from outside the EAC.
2012:
Uganda joined the COMESA Free Trade Area.
Source: FAPDA-FAO, 2014
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3. Economics of maize in Uganda
Indicators of trade distorsion on maize, Uganda(2008,2011)
Table: Nominal Rate of Protection, maize
MAFAP IndicatorsYear NRP(c) NRP(fg)2008 60.006 29.8962009 26.676 32.2192010 28.903 32.8092011 -11.884 61.271
Souce: MAFAP-FAO, 2014
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3. Economics of maize in Uganda
Maize Value Chain & Key Players
The 4 main transactions of the maize VC in Uganda are:
export marketLarge-scale Traders / Exporters
from urban market to buying centres outside the districtsProcessors/Millers
from rural market to urban marketsUrban traders
from farm gate to traders in rural marketsRural Agents
Source: USAID, 2010
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4. Contribution
What do we do?
We extend the analysis on trade and poverty, vulnerability (Niimi etal.,2007; Balat et al.,2009; Magrini and Montalbano, 2012) usinghousehold surveys to trade and food security.
We overcome the dichotomous approach of Balat et al. (2009) bylooking at maize as both export and food crop.
We propose to move from trade exposure to value chain exposure:we differentiate the hhs according to their access to levels of themaize value chain, as proxy of different degree of trade exposure.
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4. Contribution
From trade exposure to value chain exposure
The household survey allows us to investigate in detail thecharacteristics of small-holder farmers, the key player of the maize VC.
Fact: The family farmers sell maize to different partners: neighborsand relatives, consumers, local trader, district traders.
Our assumption: shock heterogeneity between hhs with different VCexposure (through different commercial partners) is a proxy of shockheterogeneity along the VC.
Our strategy: to cluster hhs according to their different VC partners,namely to their VC exposure and test heterogeneity in food securityamong clusters.
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4. Contribution
From trade exposure to value chain exposure (2)
District
trader
Local trader
Local
consumers
Export market
District
trader
Local trader
Local
consumers
Export market
Processors
Processors
Farmers with
different
localization
and farming
characteristics
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R
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D
E
E
X
P
O
S
U
R
E
VALUE CHAIN EXPOSURE
EXPOSURE
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5. Data
Uganda Living Standards Measurement Study - IntegratedSurvey on Agriculture (LSMS-ISA)
The survey sample includes approximately 3,000 Ugandan and isrepresentative at national and regional level.
The households are visited three times between 2009 and 2012.
The main advantage of the survey is the presence of an extendedAgricultural Questionnaire, which includes detailed informations onhousehold farming practices.
The variables for use of inputs and production are replicated for 2maize season - to control for seasonality in unimodal/bimodal regions;Different combinations of crop conditions (wet or dry) and state (inshell, without shell, with stalk, without stalk, in cob/head) - conversionfactor to Kg.
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6. Descriptive analysis
Household clusters
Tot hhs sample:
2,975
Agri hhs:
2,346
Agri hhs producing maize:
1,679
Net Consumer:
984
Hh is a net producer whether sells any
quantity of maize in the first or second
crop season.
By using a Index: use of fertiliser; use of
pesticides, purchase seeds, hire labour, maize
acreage, quantity of maize harvested (USAID,
2010).
Net Producer:
695
Subsistence:
185
Commercial:
510
2nd chain ring:
427
1st chain ring:
83
1st chain ring if the main partner of the hh is a private
trader in district market; 2nd chain ring if the main
partner is the private trader in the local market/village.
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6. Descriptive analysis
Some details on household clusters
We have tried different strategies in order to cluster commercial vssubsistence hhs, hhs with first vs second ring access:
only questionnaire’s answer on “main commercial partner”:
private trader in local market;private trader in district market;consumer at market;neighbor/relative
Issues: many partners, potential bias due to collection errors.
Combination of:
literature (on differences between commercial and subsistence farmers)statistical approach to put together different characteristicsquestionnaire’s answers.
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6. Descriptive analysis
Some details on household clusters (2)
Dummies: purchseed 1s fert 1s pest 1s acre 1s (>0.3) sold 1s(>600kg) hirlab 1s purchseed 2spest 2s fert 2s acre 2s(>0.3) sold 2s(>600kg) hirlab 2s
Index = averages of factors weighted by variances.Commercial if index >median (sensitivity on threshold).
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6. Descriptive analysis
Household heterogeneity in farming characteristics
Table: Heterogeneity by maize net producer and net consumer
MAIZE Net Producer (695) vs Net Consumer (984)Mean diff t-test Anova K-S
Use of fertiliser for maize -0.016 * * *Purchase seeds for maize -0.027 * * *Hire labour -0.190 *** *** ***Transport costs (USh) -1095.324 ** ** ***Maize production (Kg) -1446.156 *** *** ***Maize sale (Kg) -1044.272 *** *** ***
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6. Descriptive analysis
Household heterogeneity in farming characteristics (2)
Table: Heterogeneity by commercial and subsistence, chain levels
MAIZE Commercial (510) vs Subsistence (185) Second Chain (83) vs First Chain (427)Mean difference t-test Anova K-S Mean difference t-test Anova K-S
Use of fertiliser for maize -0.028 * * * 0.038Purchase seeds for maize -0.108 ** ** ** -0.138 * *Hire labour 0.055 -0.132Transport costs (USh) -1477.130 ** ** -2440.054Maize production (Kg) -1436.703 * * ** -4214.595 * * *Maize sale (Kg) -822.569 * * ** -2461.242 ** ** **
ALL CROPS Second Chain (158) vs First Chain (705)Mean difference t-test Anova K-S
Use of fertiliser -0.085 * * *Purchase seeds -0.073 * * *Hire labour -0.073 *** *** **Transport costs (USh) -5728.557 ** ** **Crops production (Kg) -2282.886 * * ***Crops sale (Kg) -2966.785 *** *** ***
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6. Descriptive analysis
Household heterogeneity in food security
Table: Heterogeneity in food security by maize net producer and net consumer
MAIZE Net Producer (695) vs Net Consumer (984)Mean diff t-test Anova K-S
Availability log(cons) -0.091 ** ** **Access N. meals -0.094 * * *Utilization Distance to road (km) -1.055851 ** ** **Stability No food 0.114 *** *** ***
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6. Descriptive analysis
Household heterogeneity in food security (2)
Table: Heterogeneity in food security by commercial and subsistence, chain levels
MAIZE Commercial (510) vs Subsistence (185) Second Chain (83) vs First Chain (427)Mean diff t-test Anova K-S Mean diff t-test Anova K-S
Availability log(cons) -0.171 ** ** ** 0.035Access N. meals -0.162 ** ** * 0.077Utilization Distance to road (km) -1.356 * * * 0.810Stability No food -0.003 -0.036
ALL CROPS Second Chain (158) vs First Chain (705)Mean diff t-test Anova K-S
log(cons) -0.121 ** ** **N. meals -0.223 ** ** **Distance to road (km) 0.290No food 0.047
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7. Identification strategy
Next step: identification strategy
FSh,t = φ(θh, θc , θt ,Xh)
To test the presence of heterogeneity in food security according tohousehold trade exposure we need to control for:
Selfselection into trade exposure - controlling for observablecharacteristicsHeterogeneity time invariant - exploiting the panel dimension
If we reject H(0): θc = 0, heterogeneity in VC exposure impacts onhousehold food security.
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7. Identification strategy
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8. References
References
Balat J., Brambilla I. and Porto, G., 2009. “Realizing the gains from trade: export crops,marketing costs and poverty”, Journal of International Economics 78, 21-31.
Independent Consulting Group, 2003. “Analysis of the maize supply chain in Uganda”,November 2003.
MAFAP-FAO, 2012. “Analysis of incentives and disincentives for maize in Uganda”,December 2009.
Niimi Y., Vasuveda-Dutta, P. and Winters L.A., 2007. “Trade liberalization and povertydynamics in Vietnam”, Journal of Economic Integration 22(4), 819-851.
Magrini E. and Montalbano P., 2012. “Trade openness and vulnerability to poverty:Vietnam in the long-run (1992-2008)”, University of Sussex WP N.35-2012.
USAID, 2010. “Market assessment and baseline study of staple foods”, Country reportUganda, March 2010.
WFP, 2009. “Comprehensive Food security and vulnerability analysis”, Country reportUganda, April 2009.
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